Adv_Fin_ML_Exercises

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Adv_Fin_ML_Exercises is an open-source collection of experimental solutions for exercises from the book 'Advances in Financial Machine Learning'. It helps developers implement quantitative strategies and explore financial machine learning concepts.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Adv_Fin_ML_Exercises?

Adv_Fin_ML_Exercises provides experimental solutions to selected exercises from Marcos Lopez De Prado's influential book, 'Advances in Financial Machine Learning'. Hosted on GitHub, this open-source project is designed for developers and researchers interested in applying machine learning techniques to financial data. It includes Jupyter notebooks, Python scripts for data processing, feature engineering, model training, and visualization. The project encourages collaboration and provides a structured environment for exploring advanced financial machine learning concepts, making it a valuable resource for those looking to deepen their understanding and practical implementation skills in this specialized domain.

Best used for

Ideal for developers who need to understand and implement advanced financial machine learning concepts, practice solutions from a leading textbook, and develop their own quantitative strategies. Especially valuable for those seeking a structured, open-source environment for hands-on learning and experimentation.

Common actions

learn machine learning

implement financial models

explore quantitative strategies

develop financial algorithms

github copilot"AI Agents"face swappingworkflowsopen-sourceautomated workflowdeepfakelow-code/no-codecollaboration

Capabilities

Key features

Experimental exercise solutions
Jupyter notebooks
Python scripts
Data processing
Feature engineering
Model training

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What book are these exercises based on?

These experimental solutions are based on selected exercises from the book 'Advances in Financial Machine Learning' by Marcos Lopez De Prado. The project aims to provide practical implementations of the concepts discussed in the book.

What programming languages and tools are used in this project?

The project primarily uses Python, with Jupyter notebooks for interactive development and exploration. It also leverages various Python libraries commonly used in machine learning and data science, as indicated by the requirements.txt file.

How can I contribute to the Adv_Fin_ML_Exercises project?

As an open-source project on GitHub, contributions are welcome. You can fork the repository, make improvements or add new solutions, and then submit a pull request. The project also encourages sharing other related resources.

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Also listed in

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Finance › Financial Modeling

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